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changshu_v2
catkin_ws
Commits
bfe40fb1
Commit
bfe40fb1
authored
Apr 06, 2023
by
alexander
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cs pp yaml modify
parent
f878e4ec
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1 changed file
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48 additions
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46 deletions
+48
-46
total_pointcloud_detectors.yaml
scripts/total_yamls/total_pointcloud_detectors.yaml
+48
-46
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scripts/total_yamls/total_pointcloud_detectors.yaml
View file @
bfe40fb1
node1
:
node1
:
MAX_POINTS_ALLOWED
:
400000
MAX_NUM_VOXELS
:
50000
MAX_NUM_VOXELS
:
150000
MAX_ACTIVE
:
400000
MAX_ACTIVE
:
400000
MAX_NUM_POINTS_PER_VOXEL
:
12
MAX_NUM_POINTS_PER_VOXEL
:
32
NUM_HAND_CRAFTED_FEATURES
:
10
NUM_CLASS
:
5
NUM_CLASS
:
5
SCORE_THRESHOLD
:
0.
4
SCORE_THRESHOLD
:
0.
3
NMS_OVERLAP_THRESHOLD
:
0.1
NMS_OVERLAP_THRESHOLD
:
0.1
NUM_THREADS
:
64
NUM_THREADS
:
64
BATCH_SIZE
:
1
BATCH_SIZE
:
1
RPN_ENGINE_FILE
:
s
PFE_ENGINE_FILE
:
s
VOXEL_SIZES
:
[
0.
1
,
0.1
,
0.125
]
# cp voxel
VOXEL_SIZES
:
[
0.
2
,
0.2
,
5
]
GRID_SIZES
:
[
3072
,
3072
,
40
]
# xyz
GRID_SIZES
:
[
1000
,
1000
,
1
]
PC_RANGE
:
[
-153.6
,
-153.6
,
-7
,
153.6
,
153.6
,
-2
]
PC_RANGE
:
[
-100
,
-100
,
-7
,
100
,
100
,
-2
]
DS_RATIO
:
8
# ratio of GRID_SIZES to BEV_FEATURE_SIZE
DS_RATIO
:
4
BEV_FEATURE_SIZE
:
[
384
,
384
,
256
]
# x y c
BEV_FEATURE_SIZE
:
[
250
,
250
,
64
]
RPN_ONNX_FILE
:
unified_35_and_chengdu_50_pillar_bb.onnx
RPN_ONNX_FILE
:
cs
.onnx
PFE_ONNX_FILE
:
unified_35_and_chengdu_50_pillar_pfe_50000
.onnx
CUTCONV_WEIGHTS
:
cs.weights
USEENGINE
:
False
NUM_HEAD
:
1
ORIGIN2KITTI
:
[[
0.050645
,
-0.000283
,
0.998717
,
-81.275970
,],
NUM_HEAD_FEAT
:
5
[
-0.011183
,
-0.999937
,
0.000283
,
7.05264
8
,],
ORIGIN2KITTI
:
[[
0.999750
,
-0.000158
,
-0.022344
,
-43.36615
8
,],
[
0.998654
,
-0.011183
,
-0.050645
,
0.800000
,],
[
-0.000158
,
0.999900
,
-0.014170
,
4.965493
,],
[
0.000000
,
0.000000
,
0.000000
,
1.0
00000
,],
[
0.022344
,
0.014170
,
0.999650
,
-1.2
00000
,],
]
[
0.000000
,
0.000000
,
0.000000
,
1.000000
,],
]
KITTI2ORIGIN
:
[[
0.050645
,
-0.011183
,
0.998654
,
3.396167
,],
KITTI2ORIGIN
:
[[
0.999750
,
-0.000158
,
0.022344
,
43.382930
,],
[
-0.000284
,
-0.999938
,
-0.011183
,
7.038095
,],
[
-0.000158
,
0.999900
,
0.014170
,
-4.954857
,],
[
0.998716
,
0.000284
,
-0.050645
,
81.210156
,],
[
-0.022344
,
-0.014170
,
0.999650
,
0.300965
,],
[
0.000000
,
0.000000
,
0.000000
,
1.000000
,],
[
0.000000
,
0.000000
,
0.000000
,
1.000000
,],]
]
INFER_THRESHOLD
:
INFER_THRESHOLD
:
CLASS_0
:
0.4
# truck
CLASS_0
:
0.4
# truck
...
@@ -39,37 +40,38 @@ node1:
...
@@ -39,37 +40,38 @@ node1:
CLASS_4
:
0.4
# pedestrain
CLASS_4
:
0.4
# pedestrain
node2
:
node2
:
MAX_POINTS_ALLOWED
:
400000
MAX_NUM_VOXELS
:
50000
MAX_NUM_VOXELS
:
150000
MAX_ACTIVE
:
400000
MAX_ACTIVE
:
400000
MAX_NUM_POINTS_PER_VOXEL
:
12
MAX_NUM_POINTS_PER_VOXEL
:
32
NUM_HAND_CRAFTED_FEATURES
:
10
NUM_CLASS
:
5
NUM_CLASS
:
5
SCORE_THRESHOLD
:
0.
4
SCORE_THRESHOLD
:
0.
3
NMS_OVERLAP_THRESHOLD
:
0.1
NMS_OVERLAP_THRESHOLD
:
0.1
NUM_THREADS
:
64
NUM_THREADS
:
64
BATCH_SIZE
:
1
BATCH_SIZE
:
1
RPN_ENGINE_FILE
:
s
PFE_ENGINE_FILE
:
s
VOXEL_SIZES
:
[
0.
1
,
0.1
,
0.125
]
# cp voxel
VOXEL_SIZES
:
[
0.
2
,
0.2
,
5
]
GRID_SIZES
:
[
3072
,
3072
,
40
]
# xyz
GRID_SIZES
:
[
1000
,
1000
,
1
]
PC_RANGE
:
[
-153.6
,
-153.6
,
-7
,
153.6
,
153.6
,
-2
]
PC_RANGE
:
[
-100
,
-100
,
-7
,
100
,
100
,
-2
]
DS_RATIO
:
8
# ratio of GRID_SIZES to BEV_FEATURE_SIZE
DS_RATIO
:
4
BEV_FEATURE_SIZE
:
[
384
,
384
,
256
]
# x y c
BEV_FEATURE_SIZE
:
[
250
,
250
,
64
]
RPN_ONNX_FILE
:
unified_35_and_chengdu_50_pillar_bb.onnx
RPN_ONNX_FILE
:
cs
.onnx
PFE_ONNX_FILE
:
unified_35_and_chengdu_50_pillar_pfe_50000
.onnx
CUTCONV_WEIGHTS
:
cs.weights
USEENGINE
:
False
NUM_HEAD
:
1
ORIGIN2KITTI
:
[[
0.999907
,
-0.000186
,
-0.013612
,
63.010513
,],
NUM_HEAD_FEAT
:
5
[
-0.000186
,
0.999629
,
-0.027250
,
12.51691
3
,],
ORIGIN2KITTI
:
[[
0.976220
,
-0.002876
,
0.216762
,
-52.13009
3
,],
[
0.013612
,
0.027250
,
0.999536
,
-1.600000
,],
[
-0.002876
,
0.999652
,
0.026214
,
5.534293
,],
[
0.000000
,
0.000000
,
0.000000
,
1.0
00000
,],
[
-0.216762
,
-0.026214
,
0.975873
,
0.4
00000
,],
]
[
0.000000
,
0.000000
,
0.000000
,
1.000000
,],
]
KITTI2ORIGIN
:
[[
0.999907
,
-0.000186
,
0.013612
,
-62.980574
,],
KITTI2ORIGIN
:
[[
0.976220
,
-0.002876
,
-0.216762
,
50.993078
,],
[
-0.000186
,
0.999629
,
0.027250
,
-12.456976
,],
[
-0.002876
,
0.999652
,
-0.026214
,
-5.671799
,],
[
-0.013612
,
-0.027250
,
0.999536
,
2.798023
,],
[
0.216762
,
0.026214
,
0.975873
,
10.764374
,],
[
0.000000
,
0.000000
,
0.000000
,
1.000000
,],
[
0.000000
,
0.000000
,
0.000000
,
1.000000
,],]
]
INFER_THRESHOLD
:
INFER_THRESHOLD
:
CLASS_0
:
0.4
# truck
CLASS_0
:
0.4
# truck
...
...
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